Datasets:

---

KarlQuant

/

k1rl-checkpoints

like 4

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
instrument: string
voyage: int64
checkpoints: list<item: struct<step: int64, episode: int64, file: string, size_mb: double, timestamp: string, not (... 12 chars omitted)
  child 0, item: struct<step: int64, episode: int64, file: string, size_mb: double, timestamp: string, notes: string>
      child 0, step: int64
      child 1, episode: int64
      child 2, file: string
      child 3, size_mb: double
      child 4, timestamp: string
      child 5, notes: string
rebuilt_from_hf_scan: bool
rebuild_timestamp: string
last_updated: string
voyages: struct<v12: struct<checkpoints: int64, last_step: int64>>
  child 0, v12: struct<checkpoints: int64, last_step: int64>
      child 0, checkpoints: int64
      child 1, last_step: int64
current_voyage: int64
created: string
to
{'instrument': Value('string'), 'created': Value('string'), 'current_voyage': Value('int64'), 'voyages': {'v12': {'checkpoints': Value('int64'), 'last_step': Value('int64')}}, 'last_updated': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              instrument: string
              voyage: int64
              checkpoints: list<item: struct<step: int64, episode: int64, file: string, size_mb: double, timestamp: string, not (... 12 chars omitted)
                child 0, item: struct<step: int64, episode: int64, file: string, size_mb: double, timestamp: string, notes: string>
                    child 0, step: int64
                    child 1, episode: int64
                    child 2, file: string
                    child 3, size_mb: double
                    child 4, timestamp: string
                    child 5, notes: string
              rebuilt_from_hf_scan: bool
              rebuild_timestamp: string
              last_updated: string
              voyages: struct<v12: struct<checkpoints: int64, last_step: int64>>
                child 0, v12: struct<checkpoints: int64, last_step: int64>
                    child 0, checkpoints: int64
                    child 1, last_step: int64
              current_voyage: int64
              created: string
              to
              {'instrument': Value('string'), 'created': Value('string'), 'current_voyage': Value('int64'), 'voyages': {'v12': {'checkpoints': Value('int64'), 'last_step': Value('int64')}}, 'last_updated': Value('string')}
              because column names don't match